Instructions to use BaseStation/BaseStation-Classification-Roberta-Large-8kVerdict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaseStation/BaseStation-Classification-Roberta-Large-8kVerdict with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaseStation/BaseStation-Classification-Roberta-Large-8kVerdict")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaseStation/BaseStation-Classification-Roberta-Large-8kVerdict") model = AutoModelForSequenceClassification.from_pretrained("BaseStation/BaseStation-Classification-Roberta-Large-8kVerdict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b62afbdfb6dc801752b682e087f9c82c297ac961443ad418935a94ad46ed1c4
- Size of remote file:
- 2.24 GB
- SHA256:
- 9645fc8620bf143f7ae4e17755d5b6d0110029d7c5c1d5df54e415379ccbc66f
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