Instructions to use filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264/resolve/main/training_args.bin
- Command line
-
hf download hf://filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/filipesantoscv11/cd8ae688-1b80-4ae6-92aa-de6d73b07264/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- fed67a0646cb6ac00a61cce5383ff41ad701b429083e80ae3ffefc976402d5c3
- Size of remote file:
- 6.84 kB
- SHA256:
- 11b76b0a8096376cb46b00012095ede2419e10262d3c8d1732f9d8e646eaada6
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