Instructions to use hf-internal-testing/tiny-random-MraForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MraForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MraForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MraForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MraForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MraForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 162 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MraForSequenceClassification/resolve/refs%2Fpr%2F21/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MraForSequenceClassification@refs/pr/21/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MraForSequenceClassification/resolve/refs%2Fpr%2F21/model.safetensors
162 kB
- Xet hash:
- 85ba815d1899bd3d6470a632ae51a9a24f06f1500945601051bd5a11904a4200
- Size of remote file:
- 162 kB
- SHA256:
- f3afcab459734ff4c77643801217f58cee4bcf34647a64add47485f95b1161c0
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