Feature Extraction
Transformers
Safetensors
internlm2
llama-factory
full
Generated from Trainer
custom_code
Instructions to use anthonymeo/full-train-openai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anthonymeo/full-train-openai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="anthonymeo/full-train-openai", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anthonymeo/full-train-openai", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from anthonymeo/full-train-openai: direct link, hf CLI and curl.
- Browser
- Download file 1.48 MB
-
https://huggingface.co/anthonymeo/full-train-openai/resolve/main/tokenizer.model
- Command line
-
hf download hf://anthonymeo/full-train-openai/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/anthonymeo/full-train-openai/resolve/main/tokenizer.model
1.48 MB
- Xet hash:
- eb88de5faa9e82368b3bee26636575e1c4b57b4e27ceaf70e456ac377aacd8e3
- Size of remote file:
- 1.48 MB
- SHA256:
- f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
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