The string wals roberta sets 136zip is in public NLP archives. Instead, it most likely represents:
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. wals roberta sets 136zip
This is entirely plausible – many researchers do not publicly release such project-specific archives, which is why the exact keyword does not appear in search engines. The string wals roberta sets 136zip is in
The word indicates a collection of (input, label) pairs. For a WALS + RoBERTa project, possible sets include: If you share with third parties, their policies apply
import zipfile import json import torch from transformers import RobertaModel, RobertaTokenizer # Step 1: Safely extract the 136.zip archive zip_path = "wals_roberta_sets_136.zip" extract_dir = "./wals_roberta_136/" with zipfile.ZipFile(zip_path, 'r') as zip_ref: zip_ref.extractall(extract_dir) # Step 2: Load the structural configuration with open(f"extract_dirconfig.json", "r") as f: config = json.load(f) # Step 3: Load the token spaces and weights tokenizer = RobertaTokenizer.from_pretrained(extract_dir) base_model = RobertaModel.from_pretrained(extract_dir) print(f"Successfully loaded WALS-RoBERTa Set component 136. Active features: config['wals_features']") Use code with caution. Summary Matrix
Whether you are performing or structural layer probing . Share public link