Instructions to use uzaaft/all_datasets_v3_mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/all_datasets_v3_mpnet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uzaaft/all_datasets_v3_mpnet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/all_datasets_v3_mpnet-base") model = AutoModelForMaskedLM.from_pretrained("uzaaft/all_datasets_v3_mpnet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 950 Bytes
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