Instructions to use hyperonym/xlm-roberta-longformer-large-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperonym/xlm-roberta-longformer-large-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hyperonym/xlm-roberta-longformer-large-16384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hyperonym/xlm-roberta-longformer-large-16384") model = AutoModel.from_pretrained("hyperonym/xlm-roberta-longformer-large-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from hyperonym/xlm-roberta-longformer-large-16384: direct link, hf CLI and curl.
- Browser
- Download file 2.61 GB
-
https://huggingface.co/hyperonym/xlm-roberta-longformer-large-16384/resolve/main/tf_model.h5
- Command line
-
hf download hf://hyperonym/xlm-roberta-longformer-large-16384/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/hyperonym/xlm-roberta-longformer-large-16384/resolve/main/tf_model.h5
2.61 GB
- Xet hash:
- ac975af8737ea7bcf3f1b2965f542bac6860980e2d824fcbb098aa8f3a3acc42
- Size of remote file:
- 2.61 GB
- SHA256:
- 94480dddb355810389a6501d34a798a2d9a7b1d035a96e4fff3ba2cc1a68284e
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