Instructions to use simlamkr1/llama2-simtestmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use simlamkr1/llama2-simtestmodel1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "simlamkr1/llama2-simtestmodel1") - Notebooks
- Google Colab
- Kaggle
File size: 713 Bytes
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"eos_token": {
"__type": "AddedToken",
"content": "</s>",
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"normalized": true,
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},
"model_max_length": 1000000000000000019884624838656,
"pad_token": null,
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": {
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