Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
t5
text2text-generation
text-generation-inference
Instructions to use JustAPR/resGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustAPR/resGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustAPR/resGen") model = AutoModelForSeq2SeqLM.from_pretrained("JustAPR/resGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from JustAPR/resGen: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/JustAPR/resGen/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://JustAPR/resGen/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/JustAPR/resGen/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 2dd5d0f4e735f878bfd0d803c4455e44ba1ec3573c59b5b0c1969fcdae385e97
- Size of remote file:
- 892 MB
- SHA256:
- effb0d06380db9445a71a59885bb5006bf40eddd781b54a32da1efe0f154fc57
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.