Instructions to use BigTMiami/amazon_pretraining_500k_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/amazon_pretraining_500k_checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigTMiami/amazon_pretraining_500k_checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigTMiami/amazon_pretraining_500k_checkpoints") model = AutoModelForMaskedLM.from_pretrained("BigTMiami/amazon_pretraining_500k_checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
81d4343 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c9b2c7b73796fcb7772c2e746f8a34b8a703d5029bde74e5b89bcfe3e23021a
size 4920
|