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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from Vasanth/bert_emo_classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Vasanth/bert_emo_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Vasanth/bert_emo_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Vasanth/bert_emo_classifier/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 9aeef051ad96ef8dc0faaf057335b483ff6331354cc46fd094f8f2bb9155150b
- Size of remote file:
- 438 MB
- SHA256:
- cdc3e990d092b900e9374380ed520973340c0abb13db0a82cf25808fe33ae055
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