Instructions to use hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-PerceiverForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
1.14 MB
- Xet hash:
- bc0e35cf9b2a38262006285ca712735b0ebfa73c8b43dbad7a98eaa27475f50e
- Size of remote file:
- 1.14 MB
- SHA256:
- a334723bb67bb80da2ad6c4a7adc6de32def8ca8203d61558a8dd5c95cede343
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