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:
- 816847589275049a7fc93862bca30e8ae4f193a606d0ceaa7c98c3d93d230f34
- Size of remote file:
- 2.44 GB
- SHA256:
- dafc956347a757a8320678963c74d65d49ff0eb2952203408b6e3e945070e9d1
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