Text Classification
Transformers
TensorBoard
Safetensors
distilbert
sentiment-analysis
Generated from Trainer
text-embeddings-inference
Instructions to use adityashukzy/distilbert-base-uncased-finetuned-disaster-tweets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityashukzy/distilbert-base-uncased-finetuned-disaster-tweets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adityashukzy/distilbert-base-uncased-finetuned-disaster-tweets")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adityashukzy/distilbert-base-uncased-finetuned-disaster-tweets") model = AutoModelForSequenceClassification.from_pretrained("adityashukzy/distilbert-base-uncased-finetuned-disaster-tweets", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 267b218771b915784eaa203e6cc1abf424cf453b372f2143917a3e98e0ad8897
- Size of remote file:
- 268 MB
- SHA256:
- 524027e43f5782522c3f51f720844e4e350fbde67f8a58ff17662d7fc8b7d7a0
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