Instructions to use varadsrivastava/BAI_Arg_Alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varadsrivastava/BAI_Arg_Alpha with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("varadsrivastava/BAI_Arg_Alpha", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from varadsrivastava/BAI_Arg_Alpha: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
-
https://huggingface.co/varadsrivastava/BAI_Arg_Alpha/resolve/main/README.md
- Command line
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hf download hf://varadsrivastava/BAI_Arg_Alpha/README.md
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curl -L -o README.md https://huggingface.co/varadsrivastava/BAI_Arg_Alpha/resolve/main/README.md
1.17 kB
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| base_model: unsloth/llama-3-8b-Instruct-bnb-4bit | |
| # Model: BAI_LLM_FinArg | |
| - **Developed by:** varadsrivastava | |
| - **License:** apache-2.0 | |
| - **Base Model :** unsloth/llama-3-8b-Instruct-bnb-4bit | |
| # For Proper Inference, please use: | |
| !pip install "unsloth[colab-new] @ git+https://GitHub.com/unslothai/unsloth.git | |
| ### Loading the fine-tuned model and the tokenizer for inference | |
| from unsloth import FastLanguageModel | |
| model, tokenizer = FastLanguageModel.from_pretrained( | |
| model_name = "varadsrivastava/BAI_LLM_FinArg", | |
| max_seq_length = 20, | |
| dtype = torch.bfloat16, | |
| load_in_4bit = True | |
| ) | |
| ### Using FastLanguageModel for fast inference | |
| FastLanguageModel.for_inference(model) | |
| # Prompt template: | |
| """<|begin_of_text|><|start_header_id|>system<|end_header_id|> | |
| {instruction}<|eot_id|><|start_header_id|>user<|end_header_id|> | |
| Sentence: {row['text']}<|eot_id|><|start_header_id|>assistant<|end_header_id|> | |
| Class: {row['label']}<|eot_id|>""" | |
| NOTE: This model was trained 2x faster using Unsloth and Huggingface's TRL library. | |