Instructions to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6: direct link, hf CLI and curl.
- Browser
- Download file 192 kB
-
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/adapter_model.safetensors
- Command line
-
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/adapter_model.safetensors
192 kB
- Xet hash:
- f7c2f0260aa1106bd9beca17af0d910afd13a668e2df0b58b1c2922e78f3a6b0
- Size of remote file:
- 192 kB
- SHA256:
- abcf73be8d9ce8bb6bcd0feafd945b3bb0c3a3f5feab48c0ac69bf167587214c
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