Instructions to use ibm-research/MoLFormer-XL-both-10pct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/MoLFormer-XL-both-10pct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ibm-research/MoLFormer-XL-both-10pct", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ibm-research/MoLFormer-XL-both-10pct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix tokenizer
#8
by shoffman - opened
No description provided.
shoffman changed pull request status to merged