Instructions to use hf-internal-testing/tiny-random-FunnelForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-FunnelForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-FunnelForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23ac7f3e79c644c7278d604636fb44c087cd4d437ebf6e16973b532286244cfc
- Size of remote file:
- 304 kB
- SHA256:
- 8f9bdc0e6fd7d49abea8eb896cde884cbba55581eab9fa9412278ffb76d9da25
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