Instructions to use joaogante/test_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaogante/test_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joaogante/test_text")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joaogante/test_text") model = AutoModelForMaskedLM.from_pretrained("joaogante/test_text") - Notebooks
- Google Colab
- Kaggle
Add TF weights
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:b57cdac498731d8483f7d2f55188d437b3c67db4583f9b0283c36cdaf3ee7cda
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size 363423648
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