Instructions to use AllenGeng/OCamlBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllenGeng/OCamlBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AllenGeng/OCamlBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AllenGeng/OCamlBert") model = AutoModelForMaskedLM.from_pretrained("AllenGeng/OCamlBert") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:11e3f1fd33b0deaa8613a64fa0bbdaca6b4d40c3e72267bef32e1cb3efe0f909
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