Instructions to use castorini/afriteva_v2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/afriteva_v2_large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/afriteva_v2_large") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/afriteva_v2_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from castorini/afriteva_v2_large: direct link, hf CLI and curl.
- Browser
- Download file 2.91 MB
-
https://huggingface.co/castorini/afriteva_v2_large/resolve/main/spiece.model
- Command line
-
hf download hf://castorini/afriteva_v2_large/spiece.model
-
curl -L -o spiece.model https://huggingface.co/castorini/afriteva_v2_large/resolve/main/spiece.model
2.91 MB
- Xet hash:
- deb2891b96a213b780e993564659b013cf1b53666cdb7d69c959c9e1fccb14df
- Size of remote file:
- 2.91 MB
- SHA256:
- 2bc57aa70f6457a906ab3f8b31f7ffd2bef560799dca07c14f5077c88b3143e1
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