Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use penscola/tweet_sentiments_analysis_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use penscola/tweet_sentiments_analysis_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="penscola/tweet_sentiments_analysis_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("penscola/tweet_sentiments_analysis_distilbert") model = AutoModelForSequenceClassification.from_pretrained("penscola/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/Jul22_15-55-56_281d3767af1e/events.out.tfevents.1690041399.281d3767af1e.711.0
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