Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,94 +1,106 @@
----
-license: mit
-language:
-- pt
-base_model:
-- Qwen/Qwen2.5-0.5B-Instruct
-pipeline_tag: text-generation
----
-
-This is Qwen2.5-0.5B-Instruct finetuned to perform the compression of chunks of text.
-
-The goal is to keep the information of each chunk in a RAG system more compressed and easier to read.
-
-The usage of this template is strict
-
-Sample inference:
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "cnmoro/Qwen2.5-0.5B-Chunk-Compressor"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda")
-
-prompt = """<|im_start|>system
-Você deve compactar textos sem necessidade de legibilidade para humanos, mas mantendo informações essenciais compreensíveis para outro modelo de linguagem.
-
-Regras para compressão:
-Remova palavras desnecessárias como artigos, preposições e pronomes quando possível, desde que a compreensão seja preservada.
-Preserve informações essenciais (nomes, locais, ações, conceitos-chave).
-Reduza expressões complexas mantendo o significado.
-Use listas e separadores para organizar as informações de forma eficiente.
-Remova redundâncias e detalhes secundários que não impactam a compreensão geral.<|im_end|>
-<|im_start|>user
-Texto para compressão:
-<Input>
-Cleaning the toilet is a task that doesn't interest people. Many, however, pray
-for technology that can save them from the unpleasant mission. Apparently, those
-prayers were answered: a group of Chinese scientists developed the concept of a
-self-cleaning toilet and managed to make it a reality. Thanks to 3D printing,
-researchers at Huazhong University of Science and Technology have managed to
-revolutionize the unpleasant household chore. The self-cleaning toilet, known
-as “ARSFT”, an acronym for “abrasion-resistant super slippery toilet flush” — the
-technology that allows automatic cleaning — emerged from a complex combination
-of plastic and grains of sand that repel water. In plain English, the technology
-ensures that no substance sticks to the surface. Therefore, in addition to being
-a salvation for many, this can be a more sustainable alternative to conventional
-toilets. The website New Scientist interviewed one of the project's scientists,
-Yike Li, who created the self-cleaning toilet. According to Li, the Chinese used,
-in addition to the combination of plastic and grains of sand, a laser to bring the
-particles together, thus creating the 3D printed self-cleaning toilet. After printing,
-the researchers used silicon oil to lubricate the surface of the toilet, managing
-to penetrate it due to the structure of the model. This generated the toilet's
-self-cleaning capacity, with the following materials leaving no marks after
-flushing: Milk; Yogurt; Honey; Muddy water; Starch gel mixed with porridge.
-Chinese scientists also tested the self-cleaning toilet with synthetic feces,
-using a mixture of miso, yeast, peanut oil and water, managing to imitate human
-excrement. Although it may be strange that scientists work to create toilet technologies,
-several seemingly “unnecessary” innovations can have a major global impact.
-The self-cleaning toilet created by Chinese researchers can considerably reduce water waste.
-According to Chinese scientists, the self-cleaning toilet can withstand a thousand scraping
-cycles thanks to its super slippery capacity. Therefore, the self-cleaning toilet has
-a new flushing method that minimizes water consumption – and waste. The Daily Mail
-points out that, since its invention in the 18th century, although the toilet has
-increased hygiene, a significant amount of water is required due to the adhesion
-between the surface of the toilet and human feces and urine. Worldwide, toilet
-flushes correspond to 141 billion liters of water daily. Therefore, in addition
-to saving a valuable resource for humanity, the self-cleaning toilet also has another
-environmental benefit. In places such as public and chemical bathrooms, especially
-where there is no connection to the sanitation system, the self-cleaning toilet
-appears as an ideal solution.
-</Input><|im_end|>
-<|im_start|>assistant
-Texto comprimido:
-<Output>
-"""
-
-inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
-outputs = model.generate(**inputs, max_new_tokens=384, temperature=0.5, do_sample=True)
-
-input_length = inputs.input_ids.shape[1]
-generated_tokens = outputs[0, input_length:]
-generated_text = tokenizer.decode(generated_tokens, skip_special_tokens=True)
-
-# Remove the stop token from the generated text
-generated_text = generated_text.split("</Output>")[0]
-
-print(generated_text)
-# Output text:
-# - Toilet cleaner - China developed self-cleaning toilet technology.
-# - 3D printing - recycled material repels water, prevents sticking.
-# - Self-cleaning toilet - reduces water use, waste, improves hygiene.
-# - Environmental benefits: reduced water usage globally (141 billion liters/day), reduces resource waste.
-# - Public/private bathroom solutions - ideal solution for areas lacking sanitation systems.
+---
+license: mit
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+base_model:
+- Qwen/Qwen2.5-0.5B-Instruct
+pipeline_tag: text-generation
+---
+
+This is Qwen2.5-0.5B-Instruct finetuned to perform the compression of chunks of text.
+
+The goal is to keep the information of each chunk in a RAG system more compressed and easier to read.
+
+The usage of this template is strict
+
+Sample inference:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "cnmoro/Qwen2.5-0.5B-Chunk-Compressor"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda")
+
+prompt = """<|im_start|>system
+Você deve compactar textos sem necessidade de legibilidade para humanos, mas mantendo informações essenciais compreensíveis para outro modelo de linguagem.
+
+Regras para compressão:
+Remova palavras desnecessárias como artigos, preposições e pronomes quando possível, desde que a compreensão seja preservada.
+Preserve informações essenciais (nomes, locais, ações, conceitos-chave).
+Reduza expressões complexas mantendo o significado.
+Use listas e separadores para organizar as informações de forma eficiente.
+Remova redundâncias e detalhes secundários que não impactam a compreensão geral.<|im_end|>
+<|im_start|>user
+Texto para compressão:
+<Input>
+Cleaning the toilet is a task that doesn't interest people. Many, however, pray
+for technology that can save them from the unpleasant mission. Apparently, those
+prayers were answered: a group of Chinese scientists developed the concept of a
+self-cleaning toilet and managed to make it a reality. Thanks to 3D printing,
+researchers at Huazhong University of Science and Technology have managed to
+revolutionize the unpleasant household chore. The self-cleaning toilet, known
+as “ARSFT”, an acronym for “abrasion-resistant super slippery toilet flush” — the
+technology that allows automatic cleaning — emerged from a complex combination
+of plastic and grains of sand that repel water. In plain English, the technology
+ensures that no substance sticks to the surface. Therefore, in addition to being
+a salvation for many, this can be a more sustainable alternative to conventional
+toilets. The website New Scientist interviewed one of the project's scientists,
+Yike Li, who created the self-cleaning toilet. According to Li, the Chinese used,
+in addition to the combination of plastic and grains of sand, a laser to bring the
+particles together, thus creating the 3D printed self-cleaning toilet. After printing,
+the researchers used silicon oil to lubricate the surface of the toilet, managing
+to penetrate it due to the structure of the model. This generated the toilet's
+self-cleaning capacity, with the following materials leaving no marks after
+flushing: Milk; Yogurt; Honey; Muddy water; Starch gel mixed with porridge.
+Chinese scientists also tested the self-cleaning toilet with synthetic feces,
+using a mixture of miso, yeast, peanut oil and water, managing to imitate human
+excrement. Although it may be strange that scientists work to create toilet technologies,
+several seemingly “unnecessary” innovations can have a major global impact.
+The self-cleaning toilet created by Chinese researchers can considerably reduce water waste.
+According to Chinese scientists, the self-cleaning toilet can withstand a thousand scraping
+cycles thanks to its super slippery capacity. Therefore, the self-cleaning toilet has
+a new flushing method that minimizes water consumption – and waste. The Daily Mail
+points out that, since its invention in the 18th century, although the toilet has
+increased hygiene, a significant amount of water is required due to the adhesion
+between the surface of the toilet and human feces and urine. Worldwide, toilet
+flushes correspond to 141 billion liters of water daily. Therefore, in addition
+to saving a valuable resource for humanity, the self-cleaning toilet also has another
+environmental benefit. In places such as public and chemical bathrooms, especially
+where there is no connection to the sanitation system, the self-cleaning toilet
+appears as an ideal solution.
+</Input><|im_end|>
+<|im_start|>assistant
+Texto comprimido:
+<Output>
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=384, temperature=0.5, do_sample=True)
+
+input_length = inputs.input_ids.shape[1]
+generated_tokens = outputs[0, input_length:]
+generated_text = tokenizer.decode(generated_tokens, skip_special_tokens=True)
+
+# Remove the stop token from the generated text
+generated_text = generated_text.split("</Output>")[0]
+
+print(generated_text)
+# Output text:
+# - Toilet cleaner - China developed self-cleaning toilet technology.
+# - 3D printing - recycled material repels water, prevents sticking.
+# - Self-cleaning toilet - reduces water use, waste, improves hygiene.
+# - Environmental benefits: reduced water usage globally (141 billion liters/day), reduces resource waste.
+# - Public/private bathroom solutions - ideal solution for areas lacking sanitation systems.
 ```