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:
- daf9c0280dd79f22a983ae67b72e17e82549c99ae6844370b7af84ea3af7cb66
- Size of remote file:
- 496 MB
- SHA256:
- b52666d8e832b7c7c7972ddf0716fcc94a68c124c1b6ee267cd9172ba5e99b58
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