Instructions to use Tippawan/pr-v5_NS-decrease-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tippawan/pr-v5_NS-decrease-R2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Tippawan/pr-v5_NS-decrease-R2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tippawan/pr-v5_NS-decrease-R2") model = AutoModelForMaskedLM.from_pretrained("Tippawan/pr-v5_NS-decrease-R2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 502105572cd670041893d7f89627109e75f5e1f706689f05595054c84873245f
- Size of remote file:
- 5.3 kB
- SHA256:
- a025ad9dc8f81525b1c62e03a4fb64370e9b8f9fc834cc62f873dfd62d326ae7
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