Instructions to use Asif1997/finetuning-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asif1997/finetuning-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Asif1997/finetuning-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Asif1997/finetuning-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("Asif1997/finetuning-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Asif1997/finetuning-sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Asif1997/finetuning-sentiment-analysis/resolve/main/training_args.bin
- Command line
-
hf download hf://Asif1997/finetuning-sentiment-analysis/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Asif1997/finetuning-sentiment-analysis/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 4c753068eef6d7e470fe0e84fe210c60c34becfdce9498df8d59eb5f119f9c8c
- Size of remote file:
- 3.58 kB
- SHA256:
- 7811fe1af9295345ea272e3e50711769c8351684c119f8581095a92b2562b129
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