Instructions to use hf-internal-testing/tiny-random-MptForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MptForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MptForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MptForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MptForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-MptForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 389 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-MptForSequenceClassification/resolve/f0b9153413b5dfceeb96b67d4b0f22c94bbaf64a/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MptForSequenceClassification@f0b9153413b5dfceeb96b67d4b0f22c94bbaf64a/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-MptForSequenceClassification/resolve/f0b9153413b5dfceeb96b67d4b0f22c94bbaf64a/pytorch_model.bin
389 kB
- Xet hash:
- 783d5d10212da3cf46d1b9bb2b5229441607fe2419305302b3421cffcf835ac0
- Size of remote file:
- 389 kB
- SHA256:
- e194389834f3f811d8f13b283402f661165fedf12f753cc13603ddb47ec69d84
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.