Feature Extraction
Transformers
Safetensors
internlm2
llama-factory
full
Generated from Trainer
custom_code
Instructions to use anthonymeo/full-train-expanded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anthonymeo/full-train-expanded with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="anthonymeo/full-train-expanded", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anthonymeo/full-train-expanded", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anthonymeo/full-train-expanded: direct link, hf CLI and curl.
- Browser
- Download file 7.1 kB
-
https://huggingface.co/anthonymeo/full-train-expanded/resolve/main/training_args.bin
- Command line
-
hf download hf://anthonymeo/full-train-expanded/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anthonymeo/full-train-expanded/resolve/main/training_args.bin
7.1 kB
- Xet hash:
- 58334c29f2d995af49306e02c0fa1132a255ca17a9406d63faac4413bac49ed4
- Size of remote file:
- 7.1 kB
- SHA256:
- c55c58948e8afc077e48195f785a8748c26798bf221aa34845e792f426b48311
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