Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use eddiegulay/base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eddiegulay/base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eddiegulay/base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eddiegulay/base-NER") model = AutoModelForTokenClassification.from_pretrained("eddiegulay/base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c3b4b0d6a3c8ac48c36a085a8a63f61a873b8dd7f65df184f4537419bad2ede
- Size of remote file:
- 5.18 kB
- SHA256:
- a58b4f58e8d1e052bbd45af4a0ab73277156b304c90afeda51a338e2b8d72ef1
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