Instructions to use Tanor/SRGPTSENTNEG4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/SRGPTSENTNEG4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/SRGPTSENTNEG4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/SRGPTSENTNEG4") model = AutoModelForSequenceClassification.from_pretrained("Tanor/SRGPTSENTNEG4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45621b058a691c4f272dacd231ce25b5a9f68becd4383a179e33aaf47245fb2f
- Size of remote file:
- 4.41 kB
- SHA256:
- bd6530fe3721b6d1c5bd84c3e459cc1d90931e746aef4c371a5f7d56201c3745
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