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 last-checkpoint/training_args.bin from cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/training_args.bin
- Command line
-
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/eeb85ae81a7e7c01a8b9556cd5bd6fc71e5f2d80/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- f844468285062e8981d2b9e4d0550d0de51618a46abf929039407b6d86b890f4
- Size of remote file:
- 6.84 kB
- SHA256:
- 3ee7ae465e94bef5f353bf3686b29899568d9ffe91a6d784ac7925e202b9d834
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