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:
- fa6551ad83f4a9432ca4cb713d0b736c08584cb847b853f08f2a411aebd6426b
- Size of remote file:
- 712 MB
- SHA256:
- 91edd8f44074ba80a487d30f882c3c502fe1553a36717558c3a2aeedc13d05aa
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