Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Arunavaonly/Bangla_multiclass_sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arunavaonly/Bangla_multiclass_sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arunavaonly/Bangla_multiclass_sentiment_analysis_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arunavaonly/Bangla_multiclass_sentiment_analysis_model") model = AutoModelForSequenceClassification.from_pretrained("Arunavaonly/Bangla_multiclass_sentiment_analysis_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Arunavaonly/Bangla_multiclass_sentiment_analysis_model: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/Arunavaonly/Bangla_multiclass_sentiment_analysis_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Arunavaonly/Bangla_multiclass_sentiment_analysis_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Arunavaonly/Bangla_multiclass_sentiment_analysis_model/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 99b07a5e5597dd0d8c5733d15347d60ece58499113d3634196e9e3bfff69549f
- Size of remote file:
- 1.11 GB
- SHA256:
- f0d245839065cec5640595f5dc23933d59de3d92557f029da2d5b9baf67ee5c3
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