Instructions to use ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ivangrapher/ecf18e6f-6ff3-4d63-97a1-2cbce44c5074/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 001a8b95135581bfa3591c98ed473beea2d53e7bba0f27a8bb5517efd7f26580
- Size of remote file:
- 6.78 kB
- SHA256:
- af1d17294b848c77f735b0f1d929d95fd9165baeb1b2b075d2aa3f3bed93055e
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