loading revision v0.1 (#8)
Browse files- loading revision v0.1 (1f4a3fef1d5473d5b58f64415e72945a9c84c267)
README.md
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v0.2 models are better at staying on topic and responding appropriately to standard prompts, such as greetings and questions about their role as AI assistants. SmolLM-360M-Instruct (v0.2) has a 63.3% win rate over SmolLM-360M-Instruct (v0.1) on AlpacaEval. You can find the details [here](https://huggingface.co/datasets/HuggingFaceTB/alpaca_eval_details/).
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## Usage
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### Local Applications
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v0.2 models are better at staying on topic and responding appropriately to standard prompts, such as greetings and questions about their role as AI assistants. SmolLM-360M-Instruct (v0.2) has a 63.3% win rate over SmolLM-360M-Instruct (v0.1) on AlpacaEval. You can find the details [here](https://huggingface.co/datasets/HuggingFaceTB/alpaca_eval_details/).
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You can load v0.1 models by specifying `revision="v0.1"` in the transformers code:
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```python
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model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-135M-Instruct", revision="v0.1")
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```
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## Usage
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### Local Applications
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