Instructions to use Asif1997/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asif1997/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Asif1997/finetuning-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Asif1997/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("Asif1997/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Asif1997/finetuning-sentiment-model: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Asif1997/finetuning-sentiment-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Asif1997/finetuning-sentiment-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Asif1997/finetuning-sentiment-model/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- e6080bccc28e64a44abd2928f3aa80f3b5b6d9caeed553993721d162dbec3cfa
- Size of remote file:
- 3.58 kB
- SHA256:
- a4104b5ece277c91b713fca15379d9603fb3c541e35c388817231a9abf2f647a
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