Instructions to use fabikru/model_15M_medium_ds_masking_0.4_explicit_hs_predicted_hparamas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabikru/model_15M_medium_ds_masking_0.4_explicit_hs_predicted_hparamas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fabikru/model_15M_medium_ds_masking_0.4_explicit_hs_predicted_hparamas")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fabikru/model_15M_medium_ds_masking_0.4_explicit_hs_predicted_hparamas") model = AutoModelForMaskedLM.from_pretrained("fabikru/model_15M_medium_ds_masking_0.4_explicit_hs_predicted_hparamas", device_map="auto") - Notebooks
- Google Colab
- Kaggle