Instructions to use ArBert/albert-base-v2-finetuned-ner-agglo-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArBert/albert-base-v2-finetuned-ner-agglo-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArBert/albert-base-v2-finetuned-ner-agglo-twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArBert/albert-base-v2-finetuned-ner-agglo-twitter") model = AutoModelForTokenClassification.from_pretrained("ArBert/albert-base-v2-finetuned-ner-agglo-twitter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8072ed595f3c886a277ef1beb0f7924a30c6a6af2dd9ed3ffc1f6e6e01b73823
- Size of remote file:
- 3.06 kB
- SHA256:
- 7605331d41a31ea45d087303547d7b1d699b9b252cc841266a53833247af32eb
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