Instructions to use leoh/roberta-base-8196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoh/roberta-base-8196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leoh/roberta-base-8196")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leoh/roberta-base-8196") model = AutoModel.from_pretrained("leoh/roberta-base-8196") - 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 sha256:3dc72d2ed496c8b60e9823e0c3f3d5d5673d97ecc837408e8f5cdc5109fdb9a6
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size 522355912
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