Instructions to use wiorz/bert_legal_binary_sm_pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/bert_legal_binary_sm_pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/bert_legal_binary_sm_pair")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/bert_legal_binary_sm_pair") model = AutoModelForSequenceClassification.from_pretrained("wiorz/bert_legal_binary_sm_pair") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7428b9edb24aa2efaaec1d24c52f3870447c8a006cab7a204ed49dbcaafbc301
- Size of remote file:
- 438 MB
- SHA256:
- 932b7ba5423a3f9cb79662f55f636c0e9f7a2e95e277d3874c0528180a8e6286
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