Instructions to use mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b752a5ad60693eae5413480aacab0985dd8624b0de698d5f3d00c0e771ad0688
- Size of remote file:
- 2.48 kB
- SHA256:
- f88ee5c98b2a325c531a69bab2d8aa1905563a7a3f6d4e44ad57a59e6a4236b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.