Text Classification
Transformers
ONNX
Safetensors
English
roberta
editlens
ai-detection
quantization
local-inference
text-embeddings-inference
Instructions to use CoderBak/editlens_roberta_modelkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderBak/editlens_roberta_modelkit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CoderBak/editlens_roberta_modelkit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CoderBak/editlens_roberta_modelkit") model = AutoModelForSequenceClassification.from_pretrained("CoderBak/editlens_roberta_modelkit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "pangram/editlens_roberta-large", | |
| "revision": "f93e1ace74528cfb48f337ab2fe946fb71a728cb", | |
| "gated": "manual", | |
| "card": { | |
| "base_model": "FacebookAI/roberta-large", | |
| "datasets": [ | |
| "pangram/editlens_iclr" | |
| ], | |
| "language": [ | |
| "en" | |
| ], | |
| "library_name": "peft", | |
| "license": "cc-by-nc-sa-4.0", | |
| "tags": [ | |
| "base_model:FacebookAI/roberta-large", | |
| "ai_detection" | |
| ], | |
| "extra_gated_fields": { | |
| "First Name": "text", | |
| "Last Name": "text", | |
| "Institution": "text", | |
| "Country": "country", | |
| "How do you intend to use this model?": "text", | |
| "I agree to use this model for non-commercial use ONLY": "checkbox" | |
| } | |
| }, | |
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| } | |