Instructions to use simonmun/COHA1970s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1970s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1970s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1970s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1970s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonmun/COHA1970s: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/simonmun/COHA1970s/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simonmun/COHA1970s/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonmun/COHA1970s/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- e7bf6e9f69fcfc9eb8cb095cdb154af3a9237698fd4f95811c1d25e1402abf71
- Size of remote file:
- 334 MB
- SHA256:
- 0408210bd7ac201fb5fd1cf02f9d9348904c35707185341ad604b8463047f065
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