Instructions to use csocsci/mt5-base-binary-cs-iiia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csocsci/mt5-base-binary-cs-iiia with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("csocsci/mt5-base-binary-cs-iiia") model = AutoModelForSeq2SeqLM.from_pretrained("csocsci/mt5-base-binary-cs-iiia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59b2e9fbf4f691e513df09ffe5a29b1afef04ba064d728cd20cb61fdb237fe9a
- Size of remote file:
- 2.33 GB
- SHA256:
- 471d509c7f84eac2f32ec1c4fbd980503cf60a82b8e1f9835ecf447e4202e7c9
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