Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Manirathinam21/bert_emo_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/bert_emo_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/bert_emo_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/bert_emo_classifier") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/bert_emo_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Manirathinam21/bert_emo_classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Manirathinam21/bert_emo_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Manirathinam21/bert_emo_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Manirathinam21/bert_emo_classifier/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 31410e54c27cd237c21c30423cc956d8927067971b422edfb7f87b13b6c21d03
- Size of remote file:
- 438 MB
- SHA256:
- fd04698ee1160b4fa912a3f447c61087d5c93f4e1418ef703f0aaad231d5250f
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