Instructions to use csocsci/xlm-roberta-large-binary-en-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-en-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-en-iib")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("csocsci/xlm-roberta-large-binary-en-iib") model = AutoModel.from_pretrained("csocsci/xlm-roberta-large-binary-en-iib", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from csocsci/xlm-roberta-large-binary-en-iib: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/csocsci/xlm-roberta-large-binary-en-iib/resolve/main/tokenizer.json
- Command line
-
hf download hf://csocsci/xlm-roberta-large-binary-en-iib/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/csocsci/xlm-roberta-large-binary-en-iib/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 6ae1cf27c1d3fec959da2b1e504a2c3e50c403282322c496110a0d2cd59a23a8
- Size of remote file:
- 17.1 MB
- SHA256:
- 48564c5c7d3fa64d85d95e65414a542385f88b0f128fd8d4163fd7a57f2be05c
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