Instructions to use Contrastive-Tension/BERT-Distil-NLI-CT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Contrastive-Tension/BERT-Distil-NLI-CT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Contrastive-Tension/BERT-Distil-NLI-CT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Contrastive-Tension/BERT-Distil-NLI-CT") model = AutoModelForMaskedLM.from_pretrained("Contrastive-Tension/BERT-Distil-NLI-CT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Contrastive-Tension/BERT-Distil-NLI-CT: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/Contrastive-Tension/BERT-Distil-NLI-CT/resolve/main/tf_model.h5
- Command line
-
hf download hf://Contrastive-Tension/BERT-Distil-NLI-CT/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Contrastive-Tension/BERT-Distil-NLI-CT/resolve/main/tf_model.h5
266 MB
- Xet hash:
- a0b4d51b51571731464c2eab591cf69166021583d8b2eaa11381d0b75c65b55f
- Size of remote file:
- 266 MB
- SHA256:
- 21daf9655cbc89638dca793e62f243deabd010aa4969004c91976ef505c0c190
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