Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use themeetjani/tweet-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use themeetjani/tweet-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="themeetjani/tweet-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("themeetjani/tweet-classification") model = AutoModelForSequenceClassification.from_pretrained("themeetjani/tweet-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5a8cd244c773ff9f579a13c67f210d78c77ce9f907a6fe9adac7f4f1842f91c
- Size of remote file:
- 3.96 kB
- SHA256:
- 4b5110f2885bbf5ffcd0cd394d51aacd573188e481111f71b6b44cd4d515af37
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