Instructions to use intfloat/simlm-base-wiki100w with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intfloat/simlm-base-wiki100w with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="intfloat/simlm-base-wiki100w")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("intfloat/simlm-base-wiki100w") model = AutoModelForMaskedLM.from_pretrained("intfloat/simlm-base-wiki100w", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7de02e095d19e68553a57bb48b4280c76b23a709ed31e85e913be33bedb9248b
- Size of remote file:
- 495 MB
- SHA256:
- 35890a880b6fd37252bd697fbdb255d937a49d570364b73e55999e680c8ad9d3
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