Instructions to use UdS-LSV/smole-bert-mtr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UdS-LSV/smole-bert-mtr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UdS-LSV/smole-bert-mtr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UdS-LSV/smole-bert-mtr") model = AutoModelForMaskedLM.from_pretrained("UdS-LSV/smole-bert-mtr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f810863
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Parent(s): 9295ec3
add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2114facbeca1a625cd172fde8cafcdccd1a44e6417a89473d556ef695d43b99
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size 88638175
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