Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Priyanshuchaudhary2425/EmotiNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanshuchaudhary2425/EmotiNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Priyanshuchaudhary2425/EmotiNet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Priyanshuchaudhary2425/EmotiNet") model = AutoModelForSequenceClassification.from_pretrained("Priyanshuchaudhary2425/EmotiNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Priyanshuchaudhary2425/EmotiNet: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Priyanshuchaudhary2425/EmotiNet/resolve/main/training_args.bin
- Command line
-
hf download hf://Priyanshuchaudhary2425/EmotiNet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Priyanshuchaudhary2425/EmotiNet/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 3ce0a4f90f9a8ba5ee55d5771efe2c915d3dd02193f53aeb2caa5e0d0948810d
- Size of remote file:
- 4.86 kB
- SHA256:
- c5e0d356b69137903227e146f3d115545c44843a89d25e2852696653e3264ece
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