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:
- 7c7229eee3eb29636c3371e9d2a64df530360b3585fbb44aa32bc7fb87f6ebec
- Size of remote file:
- 286 kB
- SHA256:
- ef3df8b272a5de6e48a4c718d397870ac536d49e90d3e73a7003c0b8a055e028
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