Instructions to use elozano/tweet_offensive_eval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elozano/tweet_offensive_eval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elozano/tweet_offensive_eval")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elozano/tweet_offensive_eval") model = AutoModelForSequenceClassification.from_pretrained("elozano/tweet_offensive_eval") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the offensive config and train split of tweet_eval
#4 opened almost 3 years ago
by
autoevaluator
Add evaluation results on the offensive config and train split of tweet_eval
#3 opened almost 3 years ago
by
autoevaluator
Add evaluation results on the offensive config and train split of tweet_eval
#2 opened almost 3 years ago
by
autoevaluator
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot