Instructions to use bimamuhammad/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bimamuhammad/sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bimamuhammad/sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bimamuhammad/sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("bimamuhammad/sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bimamuhammad/sentiment-analysis: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/bimamuhammad/sentiment-analysis/resolve/main/training_args.bin
- Command line
-
hf download hf://bimamuhammad/sentiment-analysis/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bimamuhammad/sentiment-analysis/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 576bf604eaafda449e85180f4f0878d1fe72427fa2de82cea7234d4d74fc62af
- Size of remote file:
- 4.6 kB
- SHA256:
- 13a6753a135f04c0a17b0ea7a42552a6e511b30109dff866326b7ed8955253e8
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