Instructions to use tner/roberta-large-tweetner7-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-tweetner7-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-tweetner7-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-tweetner7-all") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-tweetner7-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 205d7a04d9fcf5b9a75ae7f1f8e2df489e5f0a38ea26e80737bfa19730dfdf36
- Size of remote file:
- 1.42 GB
- SHA256:
- 212acd582770687a9299f7fecea6eae03d65469385212f2565b564397457509d
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