Transformers
Safetensors
PyTorch
t5
text2text-generation
knowledge-distillation
model-compression
generative-ai
polymer-generation
molecular-generation
property-conditioned-generation
cheminformatics
text-generation-inference
Instructions to use FahimehBahman/PolyTAO-Student with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FahimehBahman/PolyTAO-Student with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FahimehBahman/PolyTAO-Student") model = AutoModelForSeq2SeqLM.from_pretrained("FahimehBahman/PolyTAO-Student", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FahimehBahman/PolyTAO-Student: direct link, hf CLI and curl.
- Browser
- Download file 2.43 MB
-
https://huggingface.co/FahimehBahman/PolyTAO-Student/resolve/main/tokenizer.json
- Command line
-
hf download hf://FahimehBahman/PolyTAO-Student/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FahimehBahman/PolyTAO-Student/resolve/main/tokenizer.json
2.43 MB
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