Instructions to use simonmun/COHA1940s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1940s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1940s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1940s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1940s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90364b55df48b843a968f4fc4572fec80fd6c3fb652d1b88efad7e173b3c5f4e
- Size of remote file:
- 334 MB
- SHA256:
- d7e5385c667377386604348a70d6d81519813a3e06e4ad5bff7c43c740535818
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