Instructions to use Apucs/bangla-bert-base-finetuned-sc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apucs/bangla-bert-base-finetuned-sc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apucs/bangla-bert-base-finetuned-sc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apucs/bangla-bert-base-finetuned-sc") model = AutoModelForSequenceClassification.from_pretrained("Apucs/bangla-bert-base-finetuned-sc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Apucs/bangla-bert-base-finetuned-sc: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Apucs/bangla-bert-base-finetuned-sc/resolve/main/training_args.bin
- Command line
-
hf download hf://Apucs/bangla-bert-base-finetuned-sc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Apucs/bangla-bert-base-finetuned-sc/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 644f360108246750350fd2c2ee4abda03c897e3316960e8423f6b3595a0a3343
- Size of remote file:
- 4.6 kB
- SHA256:
- cf71ddbd66f9a464fef95f3e7e070250f6812181afca6a5d54dc09d1f0511a1d
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