Instructions to use tner/roberta-large-tweetner7-continuous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-tweetner7-continuous with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-tweetner7-continuous")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-tweetner7-continuous") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-tweetner7-continuous") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4edce643b417093bf01bd0f0487a3d46ffa4f65d1e4ed343a40a05402bec894
- Size of remote file:
- 1.42 GB
- SHA256:
- 783910db31b82a0efed1976cb2398aab7686e2cf0a89dfa3e14281b9b106089c
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