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 pytorch_model.bin from hf-internal-testing/tiny-random-TapasForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 4.28 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-TapasForSequenceClassification/resolve/7c37bfb87a6fce2f8604bb3cab2a14e09a285e14/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-TapasForSequenceClassification@7c37bfb87a6fce2f8604bb3cab2a14e09a285e14/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-TapasForSequenceClassification/resolve/7c37bfb87a6fce2f8604bb3cab2a14e09a285e14/pytorch_model.bin
4.28 MB
- Xet hash:
- c393779dd3cfe2b35ce8e07882484af9712437defa6fafab60a81c6b73d133b1
- Size of remote file:
- 4.28 MB
- SHA256:
- 758fd91591b6ba7e434db1529b9e239472c652c47c31d5359b7c3373b910ab06
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