Instructions to use gArthur98/Roberta-capstone_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gArthur98/Roberta-capstone_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gArthur98/Roberta-capstone_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gArthur98/Roberta-capstone_2") model = AutoModelForSequenceClassification.from_pretrained("gArthur98/Roberta-capstone_2") - 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:ca1c170b3fb8a11b559d8c673b19befdea80e0f22bb7ad06c075ff2d52e7f6ab
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size 498612824
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