Improve model card: Add library_name and GitHub link
Browse filesThis PR improves the model card by:
- Adding `library_name: transformers` to the metadata, which enables the "Use in Transformers" widget on the Hub and improves model discoverability.
- Adding a direct link to the associated GitHub repository for easier access to the code and related project resources.
README.md
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@@ -1,5 +1,7 @@
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---
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license: apache-2.0
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tags:
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- transformer
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- causal-lm
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@@ -7,11 +9,12 @@ tags:
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- constructive-learning
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- frozen-embeddings
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- bvv
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pipeline_tag: text-generation
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---
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# Model Card for abs-bvv-4
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## Model Description
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`abs-bvv-4` is a 1.9 billion parameter decoder-only Transformer model. It is the 4th model in the **Progressive Growth Transformers (PGT)** series, designed to explore how linguistic and reasoning capabilities emerge as a function of model depth.
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@@ -103,4 +106,5 @@ outputs = model.generate(
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do_sample=True
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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---
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- transformer
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- causal-lm
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- constructive-learning
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- frozen-embeddings
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- bvv
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---
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# Model Card for abs-bvv-4
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**GitHub Repository**: [https://github.com/Bochkov/BVV241-Tokenizers-Embeddings-Benchmarks](https://github.com/Bochkov/BVV241-Tokenizers-Embeddings-Benchmarks)
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## Model Description
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`abs-bvv-4` is a 1.9 billion parameter decoder-only Transformer model. It is the 4th model in the **Progressive Growth Transformers (PGT)** series, designed to explore how linguistic and reasoning capabilities emerge as a function of model depth.
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do_sample=True
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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