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:
- 10728246ed85bae51e1586aec64a1bedf5633f51d5e466d9c68514cf5ea3f977
- Size of remote file:
- 3.09 GB
- SHA256:
- e5697fe10318bc337b088514907fd4bd153297bcf529765600b5b6f07e87c030
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