Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

louisbrulenaudet
/
lemone-router-m

Text Classification
Transformers
TensorBoard
Safetensors
sentence-transformers
French
xlm-roberta
Generated from Trainer
feature-extraction
legal
taxation
fiscalité
tax
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use louisbrulenaudet/lemone-router-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use louisbrulenaudet/lemone-router-m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="louisbrulenaudet/lemone-router-m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("louisbrulenaudet/lemone-router-m")
    model = AutoModelForSequenceClassification.from_pretrained("louisbrulenaudet/lemone-router-m", device_map="auto")
  • sentence-transformers

    How to use louisbrulenaudet/lemone-router-m with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("louisbrulenaudet/lemone-router-m")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
lemone-router-m
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
louisbrulenaudet's picture
louisbrulenaudet
Update README.md
48f4a5b verified almost 2 years ago
  • assets
    Upload thumbnail.webp almost 2 years ago
  • runs
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • .gitattributes
    1.57 kB
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • README.md
    6.48 kB
    Update README.md almost 2 years ago
  • config.json
    1.43 kB
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • emissions.csv
    792 Bytes
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • model.safetensors
    1.11 GB
    xet
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • special_tokens_map.json
    964 Bytes
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • tokenizer_config.json
    1.15 kB
    louisbrulenaudet/lemone-router-m almost 2 years ago
  • training_args.bin

    Detected Pickle imports (9)

    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.state.PartialState",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.TrainingArguments",
    • "accelerate.utils.dataclasses.DistributedType",
    • "torch.device",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    5.24 kB
    xet
    louisbrulenaudet/lemone-router-m almost 2 years ago