Instructions to use imxly/sentence_rtb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imxly/sentence_rtb3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="imxly/sentence_rtb3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("imxly/sentence_rtb3") model = AutoModel.from_pretrained("imxly/sentence_rtb3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from imxly/sentence_rtb3: direct link, hf CLI and curl.
- Browser
- Download file 154 MB
-
https://huggingface.co/imxly/sentence_rtb3/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://imxly/sentence_rtb3/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/imxly/sentence_rtb3/resolve/main/flax_model.msgpack
154 MB
- Xet hash:
- 3ca64e2c513bcbebafc0197630ea3693424bdbfd3ece0a0b28434fcd698f49f0
- Size of remote file:
- 154 MB
- SHA256:
- 1b8de4241bf32ebfcfcc228b426f7fc3723eb692a4f1e8cb3548947530cac945
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