Instructions to use bryanhpchiang/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bryanhpchiang/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bryanhpchiang/test1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bryanhpchiang/test1") model = AutoModelForSequenceClassification.from_pretrained("bryanhpchiang/test1") - 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:fc5a15c7dd3048dbae5b84163d322bf28e278419bbe99e9282f86f6fce15bc3f
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size 267844872
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