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 optimizer.pt from fathom-llm/checkpoint-2000: direct link, hf CLI and curl.
- Browser
- Download file 1 GB
-
https://huggingface.co/fathom-llm/checkpoint-2000/resolve/main/optimizer.pt
- Command line
-
hf download hf://fathom-llm/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/fathom-llm/checkpoint-2000/resolve/main/optimizer.pt
1 GB
- Xet hash:
- a55575295a14fcd527f8ade6ce5619496ef7e9c608d72718f38e9582db3daf36
- Size of remote file:
- 1 GB
- SHA256:
- 98bf44ff0cac5c1d012f123a01f0de8d025ce8e68e626a7f39fcff7085649962
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