Instructions to use arelius/MedicalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arelius/MedicalLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/BioGPT") model = PeftModel.from_pretrained(base_model, "arelius/MedicalLM") - Notebooks
- Google Colab
- Kaggle
File size: 629 Bytes
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"_name_or_path": "microsoft/BioGPT",
"activation_dropout": 0.0,
"architectures": [
"BioGptForCausalLM"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-12,
"layerdrop": 0.0,
"max_position_embeddings": 1024,
"model_type": "biogpt",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 1,
"scale_embedding": true,
"transformers_version": "4.34.1",
"use_cache": true,
"vocab_size": 42384
}
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