Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Vasanth/bert_emo_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vasanth/bert_emo_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vasanth/bert_emo_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vasanth/bert_emo_classifier") model = AutoModelForSequenceClassification.from_pretrained("Vasanth/bert_emo_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 021f38b7f46532b0a75e00f25bb4e750316548c2f963d6a70640678f1486251b
- Size of remote file:
- 438 MB
- SHA256:
- 878e41f4423b1606904cb85721ee69d4a901f8616a0437da7254596b30cd2b00
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