Instructions to use zeifar/mlm-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeifar/mlm-mpnet-base-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zeifar/mlm-mpnet-base-v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zeifar/mlm-mpnet-base-v2") model = AutoModel.from_pretrained("zeifar/mlm-mpnet-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:328ad8836f12170f085b5d564af4d84c7b15894b6d1d5c82f1ad7aec4110953d
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size 1112197096
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