Instructions to use CaffreyR/mnli_lora_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CaffreyR/mnli_lora_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CaffreyR/mnli_lora_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CaffreyR/mnli_lora_bert") model = AutoModelForSequenceClassification.from_pretrained("CaffreyR/mnli_lora_bert") - 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 sha256:6b662ce24e5e1e629033046459f81271d01523fe14e21bd3603f76885a27cba4
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size 438859244
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