Instructions to use 5CD-AI/visocial-T5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5CD-AI/visocial-T5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="5CD-AI/visocial-T5-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("5CD-AI/visocial-T5-base") model = AutoModelForSeq2SeqLM.from_pretrained("5CD-AI/visocial-T5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from 5CD-AI/visocial-T5-base: direct link, hf CLI and curl.
- Browser
- Download file 957 kB
-
https://huggingface.co/5CD-AI/visocial-T5-base/resolve/main/spiece.model
- Command line
-
hf download hf://5CD-AI/visocial-T5-base/spiece.model
-
curl -L -o spiece.model https://huggingface.co/5CD-AI/visocial-T5-base/resolve/main/spiece.model
957 kB
- Xet hash:
- c2ca0f2861f4208c028288a630a3319e1f68dd02ee3c9b879377e91652fed628
- Size of remote file:
- 957 kB
- SHA256:
- b8cd27cf00c3433c2903020e8b05e194cca6c85dc97f5594ceb84b6f2e808d8e
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