Instructions to use Hendrik-a/rayTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hendrik-a/rayTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hendrik-a/rayTest")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hendrik-a/rayTest") model = AutoModelForSequenceClassification.from_pretrained("Hendrik-a/rayTest", 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 sha256:83a6a650a7f40e658e504a7ddd70163ad5cff2dc4e4ed5aa8ad3736c1e4b72b9
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size 411080
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