Instructions to use ashdev01/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashdev01/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashdev01/my_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashdev01/my_model") model = AutoModelForMaskedLM.from_pretrained("ashdev01/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
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runs/Jul16_06-34-42_f271b1b1ad67/events.out.tfevents.1721111683.f271b1b1ad67.231.5
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training_args.bin
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