Instructions to use hazemgalal1/gptneo125m-medical-qa-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hazemgalal1/gptneo125m-medical-qa-lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-neo-125M") model = PeftModel.from_pretrained(base_model, "hazemgalal1/gptneo125m-medical-qa-lora-adapter") - Notebooks
- Google Colab
- Kaggle
File size: 337 Bytes
2942317 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|endoftext|>",
"errors": "replace",
"is_local": false,
"model_max_length": 2048,
"pad_token": "<|endoftext|>",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
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