Instructions to use Mustang/BERT_responsible_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustang/BERT_responsible_AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mustang/BERT_responsible_AI")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mustang/BERT_responsible_AI") model = AutoModelForSequenceClassification.from_pretrained("Mustang/BERT_responsible_AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mustang/BERT_responsible_AI: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Mustang/BERT_responsible_AI/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mustang/BERT_responsible_AI/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mustang/BERT_responsible_AI/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- a927d6c48243009bcc8a7da717b5276aabec9ccee915b6232196768c0b577e14
- Size of remote file:
- 1.34 GB
- SHA256:
- 996de6626e51293ac6deed70d8072919fc56b10bc04b9978c6cdb4ac2e0c7f97
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