Instructions to use DATEXIS/nip-gatortronS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DATEXIS/nip-gatortronS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DATEXIS/nip-gatortronS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DATEXIS/nip-gatortronS") model = AutoModelForSequenceClassification.from_pretrained("DATEXIS/nip-gatortronS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34146afd4d6102e46db72b4e8be201510893b42b504e8ff8fb9aa1325c8ad9ac
- Size of remote file:
- 1.42 GB
- SHA256:
- 88088bb3561ec5a9f4d779fd9a4740d00177a8a716794da27cd0c01a46ecce01
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