Instructions to use InriaValda/cc_math_bert_ep10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InriaValda/cc_math_bert_ep10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InriaValda/cc_math_bert_ep10")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InriaValda/cc_math_bert_ep10") model = AutoModelForMaskedLM.from_pretrained("InriaValda/cc_math_bert_ep10") - Notebooks
- Google Colab
- Kaggle
replaced and added tf_model from bertlm-10 loacl downloads
Browse files- tf_model.h5 +2 -2
tf_model.h5
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