Text Classification
Transformers
PyTorch
TensorFlow
English
roberta
distilroberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use j-hartmann/emotion-english-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j-hartmann/emotion-english-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("j-hartmann/emotion-english-distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/emotion-english-distilroberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
d238071
1
Parent(s): adfea0d
Add TF weights (#2)
Browse files- Add TF weights (3916e968d770dda8d5987b2256df59933b2fc03c)
Co-authored-by: Joao Gante <joaogante@users.noreply.huggingface.co>
- tf_model.h5 +3 -0
tf_model.h5
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size 328644696
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