Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Jedida/tweet_sentiments_analysis_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jedida/tweet_sentiments_analysis_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jedida/tweet_sentiments_analysis_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jedida/tweet_sentiments_analysis_roberta") model = AutoModelForSequenceClassification.from_pretrained("Jedida/tweet_sentiments_analysis_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Jul26_09-11-17_f9a36b3a17d2/events.out.tfevents.1690362691.f9a36b3a17d2.2283.0
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