Instructions to use tner/roberta-base-tweetner7-2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-base-tweetner7-2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-base-tweetner7-2021")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-base-tweetner7-2021") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-base-tweetner7-2021") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbd38e71eb5c395828ffd61560154d28e8e999480cb5adbee593798988e48f0c
- Size of remote file:
- 496 MB
- SHA256:
- cd95cfbd2addb45992c68318f8378a26fbb3736bc866b0ef77c48beb99a3168c
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