Instructions to use hf-internal-testing/tiny-random-groupvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-groupvit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-groupvit")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-groupvit") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-groupvit") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"forced_bos_token_id": null,
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"hidden_act": "quick_gelu",
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"hidden_size":
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"hidden_act": "quick_gelu",
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"hidden_size": 256,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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pytorch_model.bin
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size 70655987
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