Instructions to use cc-platform-links/roberta-tiny-10-wat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cc-platform-links/roberta-tiny-10-wat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cc-platform-links/roberta-tiny-10-wat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cc-platform-links/roberta-tiny-10-wat") model = AutoModelForSequenceClassification.from_pretrained("cc-platform-links/roberta-tiny-10-wat") - 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:e9a883b454d761cdaca150a42a3cab6dcb005c2198c38ce55013250b3f24a412
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size 111941792
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