Instructions to use tner/roberta-base-tweetner7-continuous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-base-tweetner7-continuous with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-base-tweetner7-continuous")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-base-tweetner7-continuous") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-base-tweetner7-continuous") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba9cdb85c9c11b2d7a1479f81cd66298a88349ec166a9952e633c51789849e2f
- Size of remote file:
- 496 MB
- SHA256:
- 435a08751df64f3580fd90dad1d6d7d4ce4b02f63b0549a84c5eb887e243df68
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