Instructions to use seongwoon/labor_space_distil_long_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seongwoon/labor_space_distil_long_token with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seongwoon/labor_space_distil_long_token")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seongwoon/labor_space_distil_long_token") model = AutoModelForMaskedLM.from_pretrained("seongwoon/labor_space_distil_long_token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Mar21_04-04-31_cc7dea0c1aa2/events.out.tfevents.1679371532.cc7dea0c1aa2.571.0
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