Instructions to use antypasd/twitter-roberta-base-sensitive-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antypasd/twitter-roberta-base-sensitive-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="antypasd/twitter-roberta-base-sensitive-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("antypasd/twitter-roberta-base-sensitive-binary") model = AutoModelForSequenceClassification.from_pretrained("antypasd/twitter-roberta-base-sensitive-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0ca34d9fbef7114152aab9c44bfeba07463a9c7ec2341a60e685883f87ebcdb
- Size of remote file:
- 499 MB
- SHA256:
- e8330c1a6855310d4c770856dd79e20752452f1dda1219d34c8b1ef32861e02f
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