Instructions to use ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR") model = AutoModelForSequenceClassification.from_pretrained("ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5a07b0a9f9f99b07c93e029f4933bdcdb82a652bc40958e0ef089aa19b1831
- Size of remote file:
- 1.77 GB
- SHA256:
- ec8844bc429e6cfba4713a390e6ab48ed1f47a67e2eb5cd7d6f4fdb554fbb61d
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