Instructions to use monsoon-nlp/es-seq2seq-gender-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/es-seq2seq-gender-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monsoon-nlp/es-seq2seq-gender-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/es-seq2seq-gender-encoder") model = AutoModel.from_pretrained("monsoon-nlp/es-seq2seq-gender-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b360d0e1c20311c3510b16a854ed86dabbe08362) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0398a0f
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upload flax model
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add code sample
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encoder half
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initial commit
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