Instructions to use amitness/roberta-base-ne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitness/roberta-base-ne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amitness/roberta-base-ne")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amitness/roberta-base-ne") model = AutoModelForMaskedLM.from_pretrained("amitness/roberta-base-ne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from amitness/roberta-base-ne: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/amitness/roberta-base-ne/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://amitness/roberta-base-ne/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/amitness/roberta-base-ne/resolve/main/flax_model.msgpack
334 MB
- Xet hash:
- 9716fdbabad9f620e31c921c52867eeacf4a5676f332a37e3b873d0141debbe2
- Size of remote file:
- 334 MB
- SHA256:
- fda851e60cf7d6852c3eb9661e2ab17bd3194745f038b3f0898d2c7685c99b48
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