Instructions to use miladfa7/pretrain_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/pretrain_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/pretrain_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miladfa7/pretrain_model") model = AutoModelForMaskedLM.from_pretrained("miladfa7/pretrain_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c20a8d6c06f3f2e485e35f99b08b37806a089f67c5cb3fad4aeb8d76a463edbc
- Size of remote file:
- 1.1 kB
- SHA256:
- 11dd86c7a23bca65cbdc9b442b18189632f69772b24bdfe68ffc2ad08206d86d
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