Instructions to use AnanthZeke/TryNER-tabert-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnanthZeke/TryNER-tabert-1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AnanthZeke/TryNER-tabert-1k")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AnanthZeke/TryNER-tabert-1k") model = AutoModelForTokenClassification.from_pretrained("AnanthZeke/TryNER-tabert-1k") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7b12ae2
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/xtreme_for_10_epochs/events.out.tfevents.1681815734.5ce66b4d6ff4.15208.60
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