Instructions to use hf-internal-testing/tiny-random-MegaForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegaForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MegaForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MegaForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MegaForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 387 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MegaForSequenceClassification/resolve/refs%2Fpr%2F13/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MegaForSequenceClassification@refs/pr/13/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MegaForSequenceClassification/resolve/refs%2Fpr%2F13/model.safetensors
387 kB
- Xet hash:
- 9ba16e6f6aa720c935298121a37b5f2d7112e28ba9b8e8137165fbfef6bea1d1
- Size of remote file:
- 387 kB
- SHA256:
- 86a1fdc143b1f136c6970c505975be973d43afb86aad30965eafc82929f183d3
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