Instructions to use monsoon-nlp/ar-seq2seq-gender-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/ar-seq2seq-gender-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monsoon-nlp/ar-seq2seq-gender-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/ar-seq2seq-gender-encoder") model = AutoModel.from_pretrained("monsoon-nlp/ar-seq2seq-gender-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from monsoon-nlp/ar-seq2seq-gender-encoder: direct link, hf CLI and curl.
- Browser
- Download file 651 MB
-
https://huggingface.co/monsoon-nlp/ar-seq2seq-gender-encoder/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://monsoon-nlp/ar-seq2seq-gender-encoder/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/monsoon-nlp/ar-seq2seq-gender-encoder/resolve/main/flax_model.msgpack
651 MB
- Xet hash:
- 03e22ee6d9243bed7846c97abb38c76e07982006a0af64fc2a79f2beeb6ec8a6
- Size of remote file:
- 651 MB
- SHA256:
- 264bdf3e178c294f3f3b351e205291cca895522231beb5f53cec0df286d7f752
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