Instructions to use hf-internal-testing/tiny-random-TapasForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TapasForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-TapasForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-TapasForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-TapasForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-TapasForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.26 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-TapasForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TapasForSequenceClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-TapasForSequenceClassification/resolve/refs%2Fpr%2F1/model.safetensors
4.26 MB
- Xet hash:
- 700c3f3f5d8b6f15d694431212ea0693e465e511c2a3093b5cec8bf4acba347e
- Size of remote file:
- 4.26 MB
- SHA256:
- b1bab74819553c16a086866726e5d06b650f11a6ce3dfbc71b85bf8b96f61750
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