Instructions to use BigTMiami/tapt_helpfulness_base_pretraining_model_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/tapt_helpfulness_base_pretraining_model_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigTMiami/tapt_helpfulness_base_pretraining_model_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigTMiami/tapt_helpfulness_base_pretraining_model_final") model = AutoModelForMaskedLM.from_pretrained("BigTMiami/tapt_helpfulness_base_pretraining_model_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 0
Verified signaturee393a07 -
Training in progress, epoch 0
Verified signature751b94b -
Training in progress, epoch 0
Verified signature9a82d21 -
Training in progress, epoch 0
Verified signature398ea27
-
Training in progress, epoch 0
Verified signatureed75114