Instructions to use baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large") model = AutoModelForTokenClassification.from_pretrained("baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 4