Instructions to use AidenGO/KDXF_Bert4MaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AidenGO/KDXF_Bert4MaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AidenGO/KDXF_Bert4MaskedLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AidenGO/KDXF_Bert4MaskedLM") model = AutoModelForMaskedLM.from_pretrained("AidenGO/KDXF_Bert4MaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
d204592 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e1c39d1db901cc5e7a6a935c580315c3d4a1708d93bf09694a7fb0d4536adaa7
size 421153451
|