Instructions to use aroot/eng-mya-simcse_longest_sent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aroot/eng-mya-simcse_longest_sent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aroot/eng-mya-simcse_longest_sent") model = AutoModelForSeq2SeqLM.from_pretrained("aroot/eng-mya-simcse_longest_sent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66701b4e7702e42bc77584c0198614afdc0b99b79ff0afb0bc92c76625123705
- Size of remote file:
- 4.09 kB
- SHA256:
- 4ed88edccc83dd8e1f3d63655026d355dc5298fd9be9fa3694a58fbd90cb398c
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