Instructions to use tuanio/binary-bert-for-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuanio/binary-bert-for-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tuanio/binary-bert-for-sequence-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tuanio/binary-bert-for-sequence-classification") model = AutoModelForCTC.from_pretrained("tuanio/binary-bert-for-sequence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tuanio/binary-bert-for-sequence-classification: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/tuanio/binary-bert-for-sequence-classification/resolve/201c7d5d1d4bd0dde2cf2c8cb1c8a8201cd06dd1/pytorch_model.bin
- Command line
-
hf download hf://tuanio/binary-bert-for-sequence-classification@201c7d5d1d4bd0dde2cf2c8cb1c8a8201cd06dd1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tuanio/binary-bert-for-sequence-classification/resolve/201c7d5d1d4bd0dde2cf2c8cb1c8a8201cd06dd1/pytorch_model.bin
1.26 GB
- Xet hash:
- b1b88ffaa395bf5b8f762290fc76481dd908e3b83a0116131b02cbfe05e6f0ec
- Size of remote file:
- 1.26 GB
- SHA256:
- e48f15d6e678a1a03e3232c1db589195edcddb545e928516d8e022bcf773169f
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