Instructions to use vocab-transformers/distilbert-mlm-1000k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vocab-transformers/distilbert-mlm-1000k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vocab-transformers/distilbert-mlm-1000k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vocab-transformers/distilbert-mlm-1000k") model = AutoModelForMaskedLM.from_pretrained("vocab-transformers/distilbert-mlm-1000k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4150b0acfe8c55f880697708d0a70b8fd4fc021beed5637abd524cf09ccbafbd
- Size of remote file:
- 268 MB
- SHA256:
- c837b4ee0449fde0a5142d0f70afd7d7e9af13567ef7cfab6f61b7aa6fb48128
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