Instructions to use mrm8488/convbert-small-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/convbert-small-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mrm8488/convbert-small-spanish")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mrm8488/convbert-small-spanish") model = AutoModel.from_pretrained("mrm8488/convbert-small-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add TF ckpt
Browse files- config.json +1 -1
- tf_model.h5 +3 -0
config.json
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{
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"_name_or_path": "
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"architectures": [
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"ConvBertModel"
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],
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{
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"_name_or_path": "/content/coverted",
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"architectures": [
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"ConvBertModel"
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],
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf5b0f2c3c38997e0f2124b03b00fd1d2683123182050ebc7ae332ce1680eaee
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size 52920104
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