Instructions to use Tanor/SRGPTSENTNEG6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/SRGPTSENTNEG6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/SRGPTSENTNEG6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/SRGPTSENTNEG6") model = AutoModelForSequenceClassification.from_pretrained("Tanor/SRGPTSENTNEG6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0236bad85ab6772149094a24e43239c47cbda877f5f6d08d396a85f75d48e9f9
- Size of remote file:
- 3.09 GB
- SHA256:
- eaea0b07979cd77c9b886f4ff34acd28624c70194d5c7a48f71ff5ad8a3ed742
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