Instructions to use mriggs/wikisource_lemmatized_epoch1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mriggs/wikisource_lemmatized_epoch1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mriggs/wikisource_lemmatized_epoch1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mriggs/wikisource_lemmatized_epoch1") model = AutoModelForMaskedLM.from_pretrained("mriggs/wikisource_lemmatized_epoch1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mriggs/wikisource_lemmatized_epoch1: direct link, hf CLI and curl.
- Browser
- Download file 550 MB
-
https://huggingface.co/mriggs/wikisource_lemmatized_epoch1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mriggs/wikisource_lemmatized_epoch1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mriggs/wikisource_lemmatized_epoch1/resolve/main/pytorch_model.bin
550 MB
- Xet hash:
- e697cc075c7ae198e6a1aaee64e4722eaf13519cbcaf57bf79bef0d52144a673
- Size of remote file:
- 550 MB
- SHA256:
- 967b160b4c8e66e4e713941714b53400a96a1bc6d59dd210732a61fe49bd928d
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