Instructions to use bexgboost/firecrawl-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bexgboost/firecrawl-assistant with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bexgboost/firecrawl-assistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from bexgboost/firecrawl-assistant: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/bexgboost/firecrawl-assistant/resolve/main/training_args.bin
- Command line
-
hf download hf://bexgboost/firecrawl-assistant/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bexgboost/firecrawl-assistant/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 1f2a4f45d35d26e1e6b07802b50a8fc74daca2b1a41ef0433e848ff16aa6a18d
- Size of remote file:
- 5.69 kB
- SHA256:
- e19209b0c1f343a1a4a7ff5bcbb64e162f68089ef6c01048f1d1804bd5877651
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