Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Jedida/tweet_sentiments_analysis_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jedida/tweet_sentiments_analysis_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jedida/tweet_sentiments_analysis_distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jedida/tweet_sentiments_analysis_distilbert") model = AutoModelForSequenceClassification.from_pretrained("Jedida/tweet_sentiments_analysis_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/Jul24_17-59-28_d5adbd708875/events.out.tfevents.1690221644.d5adbd708875.485.0
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