Text Classification
Transformers
Safetensors
Bengali
English
xlm-roberta
safeage
safety-classification
bangla
banglish
text-embeddings-inference
Instructions to use mehedi4/SafeAge-XLM-R-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mehedi4/SafeAge-XLM-R-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mehedi4/SafeAge-XLM-R-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mehedi4/SafeAge-XLM-R-Base") model = AutoModelForSequenceClassification.from_pretrained("mehedi4/SafeAge-XLM-R-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download provenance/upstream_license_source.json from mehedi4/SafeAge-XLM-R-Base: direct link, hf CLI and curl.
- Browser
- Download file 373 Bytes
-
https://huggingface.co/mehedi4/SafeAge-XLM-R-Base/resolve/main/provenance/upstream_license_source.json
- Command line
-
hf download hf://mehedi4/SafeAge-XLM-R-Base/provenance/upstream_license_source.json
-
curl -L -o upstream_license_source.json https://huggingface.co/mehedi4/SafeAge-XLM-R-Base/resolve/main/provenance/upstream_license_source.json
373 Bytes
| { | |
| "license": "MIT", | |
| "pinned_huggingface_card": "https://huggingface.co/FacebookAI/xlm-roberta-base/blob/e73636d4f797dec63c3081bb6ed5c7b0bb3f2089/README.md", | |
| "license_file_source": "https://raw.githubusercontent.com/facebookresearch/fairseq/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/LICENSE", | |
| "upstream_fairseq_revision": "3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99" | |
| } | |