Text Classification
Transformers
PyTorch
English
roberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use j-hartmann/emotion-english-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j-hartmann/emotion-english-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="j-hartmann/emotion-english-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("j-hartmann/emotion-english-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/emotion-english-roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48701467e6005a0de6980bee3fc5bba53be79202d977b20a6d306f72227cf92
- Size of remote file:
- 1.42 GB
- SHA256:
- 9228710480b6dab3e4bd81ed3222fd1ffc9ac056ad0e8da876c7e49d6dabe0ce
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