Transformers
PyTorch
TensorBoard
English
t5
text2text-generation
NLP
ChatBot
Game AI
text-generation-inference
Instructions to use isala404/t5-base-conversation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isala404/t5-base-conversation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("isala404/t5-base-conversation") model = AutoModelForSeq2SeqLM.from_pretrained("isala404/t5-base-conversation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0668a52ce1ccbda4c39bee51a09f61df993dd7ae8199c2781a53982143395743
- Size of remote file:
- 3.12 kB
- SHA256:
- e71775dbed3f18b3d75115d207c036894d855c890c0120e12ac09ed590e78070
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