Instructions to use csocsci/xlm-roberta-large-binary-cs-iib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csocsci/xlm-roberta-large-binary-cs-iib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="csocsci/xlm-roberta-large-binary-cs-iib")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("csocsci/xlm-roberta-large-binary-cs-iib") model = AutoModel.from_pretrained("csocsci/xlm-roberta-large-binary-cs-iib") - 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:e0e620ed4885548a69c5e6d5f743f6bc38ad136ecc9b8413c72db071690846b0
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size 2239607176
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