Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Rasooli3003/Bert-Sentiment-Fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rasooli3003/Bert-Sentiment-Fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rasooli3003/Bert-Sentiment-Fa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rasooli3003/Bert-Sentiment-Fa") model = AutoModelForSequenceClassification.from_pretrained("Rasooli3003/Bert-Sentiment-Fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rasooli3003/Bert-Sentiment-Fa: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Rasooli3003/Bert-Sentiment-Fa/resolve/main/training_args.bin
- Command line
-
hf download hf://Rasooli3003/Bert-Sentiment-Fa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rasooli3003/Bert-Sentiment-Fa/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 704af3cafeedccf54197b1da50553ce738022e106060f893a90f4e6a9332222c
- Size of remote file:
- 5.18 kB
- SHA256:
- 0eebbea113a6ab9c78db2c8be78371056e9cb3e33c1bfd7436b8a9400d488d08
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