Instructions to use pjox/dalembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pjox/dalembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pjox/dalembert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pjox/dalembert") model = AutoModelForMaskedLM.from_pretrained("pjox/dalembert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71014d3db5d0d5afbdad1593145e279fd81697a88b9e1b9257b22c7bd07e3aae
- Size of remote file:
- 445 MB
- SHA256:
- 6b7bf9c0ad9a7afcff2fad6422850a8bc86a6d5fa7315bcd41957683e962e79d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.