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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FunnelForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 286 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FunnelForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FunnelForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FunnelForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
286 kB
- Xet hash:
- 7c7229eee3eb29636c3371e9d2a64df530360b3585fbb44aa32bc7fb87f6ebec
- Size of remote file:
- 286 kB
- SHA256:
- ef3df8b272a5de6e48a4c718d397870ac536d49e90d3e73a7003c0b8a055e028
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