Instructions to use poooj/MPNetForClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poooj/MPNetForClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poooj/MPNetForClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poooj/MPNetForClassification") model = AutoModelForSequenceClassification.from_pretrained("poooj/MPNetForClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20a69e2e2ec5d4988a410f3555e5c7bd3994506bcc896d52915c937759624065
- Size of remote file:
- 438 MB
- SHA256:
- 4a693a1a6cc37d322d124dbd4892d3870a5e39d0630289fe7095831a995a85aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.