Instructions to use BlueAvenir/testpush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlueAvenir/testpush with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BlueAvenir/testpush")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BlueAvenir/testpush") model = AutoModel.from_pretrained("BlueAvenir/testpush", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BlueAvenir/testpush: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/BlueAvenir/testpush/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://BlueAvenir/testpush@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BlueAvenir/testpush/resolve/refs%2Fpr%2F1/tokenizer.json
17.1 MB
- Xet hash:
- fe584e09808b408472e9556eb0d8db4b797690702ab6f43ad18e59f5b5b2cd10
- Size of remote file:
- 17.1 MB
- SHA256:
- b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
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