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README.md

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+---
+library_name: transformers
+license: gpl-3.0
+language:
+- as
+- bn
+- brx
+- doi
+- gom
+- gu
+- en
+- hi
+- kn
+- ks
+- mai
+- ml
+- mni
+- mr
+- ne
+- or
+- pa
+- sa
+- sat
+- sd
+- ta
+- te
+- ur
+base_model: sarvamai/sarvam-translate
+base_model_relation: finetune
+pipeline_tag: translation
+tags:
+- mlx
+---
+
+# bibproj/sarvam-translate-mlx-fp16
+
+The Model [bibproj/sarvam-translate-mlx-fp16](https://huggingface.co/bibproj/sarvam-translate-mlx-fp16) was converted to MLX format from [sarvamai/sarvam-translate](https://huggingface.co/sarvamai/sarvam-translate) using mlx-lm version **0.22.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("bibproj/sarvam-translate-mlx-fp16")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```