Instructions to use simonycl/roberta-large-sst-2-64-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/roberta-large-sst-2-64-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/roberta-large-sst-2-64-13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/roberta-large-sst-2-64-13") model = AutoModelForSequenceClassification.from_pretrained("simonycl/roberta-large-sst-2-64-13") - 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:bcbce898adde4d65bb43cbf6e98a22aac6cc5fc764c178622c2cdc770efe9754
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size 1421495416
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