Instructions to use cabrooks/LOGION-50k_wordpiece with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cabrooks/LOGION-50k_wordpiece with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cabrooks/LOGION-50k_wordpiece")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cabrooks/LOGION-50k_wordpiece") model = AutoModelForMaskedLM.from_pretrained("cabrooks/LOGION-50k_wordpiece") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
565239c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:76afbf0ad54e517e22fc3e2119a33b33d6ed1c73d131541cb3635ae3c220ee8e
size 498043179
|