Instructions to use amkorba/mlm-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amkorba/mlm-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amkorba/mlm-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amkorba/mlm-model") model = AutoModelForMaskedLM.from_pretrained("amkorba/mlm-model") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("amkorba/mlm-model")
model = AutoModelForMaskedLM.from_pretrained("amkorba/mlm-model")Quick Links
README.md exists but content is empty.
- Downloads last month
- 3
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amkorba/mlm-model")