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:
- eca9625f47964873637772839693d6f38e562bf1f03ea4a6faa9e66b846b99b3
- Size of remote file:
- 892 MB
- SHA256:
- a7b0c3079f3d5eed4704161dfdcce1f8dbced03777a3f79c57a1e36e81b9e1dd
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