Instructions to use hf-tiny-model-private/tiny-random-MPNetForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MPNetForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-MPNetForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-MPNetForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
9f70ab0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c94bcaba506dc77827e3a41d8d276bcc461dced4db20f5fd51ac75b7e557d519
size 1065152
|