Instructions to use ramybaly/CoNLL12V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramybaly/CoNLL12V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ramybaly/CoNLL12V2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ramybaly/CoNLL12V2") model = AutoModelForTokenClassification.from_pretrained("ramybaly/CoNLL12V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/Jan16_12-10-47_ip-172-31-23-147/events.out.tfevents.1642335058.ip-172-31-23-147.15599.0
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