Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use msperka/aleph_bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msperka/aleph_bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="msperka/aleph_bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("msperka/aleph_bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("msperka/aleph_bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 050b63498c6e7b228c72c75537d8e7338fda88c4633b549c168c9ccbb4f94e5c
- Size of remote file:
- 502 MB
- SHA256:
- 55e694a7fc172bd9b1038f4705c013cedb5fa0a8ff6553733c831c4bc2eec520
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