Instructions to use william19003/williams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use william19003/williams with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("william19003/williams", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from william19003/williams: direct link, hf CLI and curl.
- Browser
- Download file 267 Bytes
-
https://huggingface.co/william19003/williams/resolve/main/README.md
- Command line
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hf download hf://william19003/williams/README.md
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curl -L -o README.md https://huggingface.co/william19003/williams/resolve/main/README.md
267 Bytes
| license: bsd-2-clause | |
| datasets: | |
| - HuggingFaceTB/smoltalk | |
| language: | |
| - en | |
| metrics: | |
| - code_eval | |
| base_model: | |
| - stabilityai/stable-diffusion-3.5-large | |
| new_version: meta-llama/Llama-3.3-70B-Instruct | |
| pipeline_tag: text-to-audio | |
| library_name: fasttext | |
| tags: | |
| - finance | |