Instructions to use a5u7/roberta_t3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a5u7/roberta_t3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="a5u7/roberta_t3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("a5u7/roberta_t3") model = AutoModel.from_pretrained("a5u7/roberta_t3") - 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 sha256:18eacc75a16dcc1f7ffbafc2d9f3686a0aeb408055096243b496880eb23dbcb5
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size 243429456
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