Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use hiraltalsaniya/distilbert-base-uncased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiraltalsaniya/distilbert-base-uncased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hiraltalsaniya/distilbert-base-uncased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hiraltalsaniya/distilbert-base-uncased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("hiraltalsaniya/distilbert-base-uncased-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c497acfc651cab130cf75eb8ff7d7224c2ba38afaa20a2dfbf0ca2d37daa0192
- Size of remote file:
- 5.2 kB
- SHA256:
- 04f757690fcf08d2a7ccf009364f2a0caeee72120ca06b9c369bed3feecc9190
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