Instructions to use hf-internal-testing/tiny-random-FunnelBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-FunnelBaseModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FunnelBaseModel: direct link, hf CLI and curl.
- Browser
- Download file 280 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-FunnelBaseModel/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FunnelBaseModel@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FunnelBaseModel/resolve/refs%2Fpr%2F1/model.safetensors
280 kB
- Xet hash:
- c6b212f9620052be45a7facec73b76ea3b0096719985a4e7a4d88f312ec2468d
- Size of remote file:
- 280 kB
- SHA256:
- ebd945e41bfdd68e1fc380c9554518851f5b5f3be3bc26aed8a8c9c9a2386fd8
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