Instructions to use BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model") model = AutoModelForMaskedLM.from_pretrained("BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 30
Browse files
model.safetensors
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