Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use HilariusJeremy/disaster_tweet_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HilariusJeremy/disaster_tweet_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HilariusJeremy/disaster_tweet_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HilariusJeremy/disaster_tweet_distilbert") model = AutoModelForSequenceClassification.from_pretrained("HilariusJeremy/disaster_tweet_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87587a674f631251f7d13b87e008303478ff717ac819967215257ac689440396
- Size of remote file:
- 4.28 kB
- SHA256:
- 0bb5466a0537fc1b4e401afd6444946c6175963ad4064c7e42e850b7ea5de147
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