Instructions to use neurocode/IsRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neurocode/IsRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neurocode/IsRoBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neurocode/IsRoBERTa") model = AutoModelForMaskedLM.from_pretrained("neurocode/IsRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from neurocode/IsRoBERTa: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/neurocode/IsRoBERTa/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://neurocode/IsRoBERTa/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/neurocode/IsRoBERTa/resolve/main/flax_model.msgpack
334 MB
- Xet hash:
- a96562ec3153d6cfc8d20a98807d615bbcea2c76fac02bc98ad395864a72af89
- Size of remote file:
- 334 MB
- SHA256:
- 92f68f3d4bc6db6bb575b52c8e537840deea8d5b295d24b9668a45544e7ff5bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.