Instructions to use fathom-llm/checkpoint-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fathom-llm/checkpoint-2000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-3-13b") model = PeftModel.from_pretrained(base_model, "fathom-llm/checkpoint-2000") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fathom-llm/checkpoint-2000: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/fathom-llm/checkpoint-2000/resolve/main/training_args.bin
- Command line
-
hf download hf://fathom-llm/checkpoint-2000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fathom-llm/checkpoint-2000/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- deabbc2a340255d39d7bb62bce037142e5be1b96245fa86d3beb5bd47c6458d6
- Size of remote file:
- 5.56 kB
- SHA256:
- 820fa115997a6ace1b22322fa3966d80ddb8d654eebd9b308d77ceafd9347eea
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