Instructions to use crosso69/bert_lplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crosso69/bert_lplus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crosso69/bert_lplus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crosso69/bert_lplus") model = AutoModelForSequenceClassification.from_pretrained("crosso69/bert_lplus", 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 sha256:679dbed614e4fee221759ab4f3e0be1922cff71c76ba328e658e51cd971b2aa5
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size 409104432
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