Instructions to use anismahmahi/QCRI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anismahmahi/QCRI with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForTokenAndSequenceJointClassification tokenizer = AutoTokenizer.from_pretrained("anismahmahi/QCRI") model = BertForTokenAndSequenceJointClassification.from_pretrained("anismahmahi/QCRI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc970e5c325d2666ff1533413b81503491c60e2631d0e6382ed3881ba19b191b
- Size of remote file:
- 433 MB
- SHA256:
- 0bfbb9a9a279e4f894c88b6a291075eaab939ca7207464a2faef8df3226416c3
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