Instructions to use lim4349/wiki_tapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lim4349/wiki_tapt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lim4349/wiki_tapt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lim4349/wiki_tapt") model = AutoModelForMaskedLM.from_pretrained("lim4349/wiki_tapt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lim4349/wiki_tapt: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/lim4349/wiki_tapt/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lim4349/wiki_tapt/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lim4349/wiki_tapt/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- 7004079ffe2bb04c0b6439d8c870766654a791bd54eb13c537807d5ac648a8ef
- Size of remote file:
- 1.35 GB
- SHA256:
- 09cebc6efcd185b3a15b34811ba9789a0421a5b7b08f2f0140398b20046c97fa
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