Fill-Mask
Transformers.js
ONNX
Fairseq
Hebrew
roberta
hebrew
encoder
masked-language-modeling
mlm
named-entity-recognition
sentiment-analysis
monolingual
byte-level-bpe
Instructions to use onnx-community/HalleluBERT_large-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/HalleluBERT_large-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('fill-mask', 'onnx-community/HalleluBERT_large-ONNX'); - Fairseq
How to use onnx-community/HalleluBERT_large-ONNX with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "onnx-community/HalleluBERT_large-ONNX" ) - Notebooks
- Google Colab
- Kaggle
Download onnx/model.onnx from onnx-community/HalleluBERT_large-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 1.64 GB
-
https://huggingface.co/onnx-community/HalleluBERT_large-ONNX/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://onnx-community/HalleluBERT_large-ONNX/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/onnx-community/HalleluBERT_large-ONNX/resolve/main/onnx/model.onnx
1.64 GB
- Xet hash:
- 013bdf35128fe7c1746ab7663e2de09c006ce681c38f9af374e61ecab3f3e385
- Size of remote file:
- 1.64 GB
- SHA256:
- 2d8b5d4c3412e8cdc94d0a982a1c1af517e09568baace0363c6d656b8f44563a
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