Instructions to use tweettemposhift/ner-ner_random2_seed2-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/ner-ner_random2_seed2-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tweettemposhift/ner-ner_random2_seed2-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/ner-ner_random2_seed2-roberta-base") model = AutoModelForTokenClassification.from_pretrained("tweettemposhift/ner-ner_random2_seed2-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f5ec91787b5eb2868153851b0c982c77ed6ea6de1835e0bfd8083567b54187f
- Size of remote file:
- 496 MB
- SHA256:
- d05f86b3c73aa03ae6f8bbfde4baa6720b6054cf05666f7ce833ac58e76cbbf0
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