Instructions to use alishudi/distil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alishudi/distil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alishudi/distil")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alishudi/distil") model = AutoModelForSequenceClassification.from_pretrained("alishudi/distil") - Notebooks
- Google Colab
- Kaggle
Upload git_log.json with huggingface_hub
Browse files- git_log.json +5 -0
git_log.json
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{
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"repo_id": "<git.Repo \"/home/atsvigun/sasha/distillation/.git\">",
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"repo_sha": "4c896435a9d101e49705cda2de9b88c55f16ba87",
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"repo_branch": "master"
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}
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