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

eliashasnat
/
ifrsllm

Question Answering
Transformers
Safetensors
trl
sft
finance
accounting
ifrs
financial-services
rag
text-generation
domain-specific-llm
Model card Files Files and versions
xet
Community

Instructions to use eliashasnat/ifrsllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eliashasnat/ifrsllm with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="eliashasnat/ifrsllm")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("eliashasnat/ifrsllm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ifrsllm / checkpoint-3
47.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
eliashasnat's picture
eliashasnat
Upload model trained with Soup CLI
e201913 verified about 1 month ago
  • README.md
    5.21 kB
    Upload model trained with Soup CLI about 1 month ago
  • adapter_config.json
    1.14 kB
    Upload model trained with Soup CLI about 1 month ago
  • adapter_model.safetensors
    14.8 MB
    xet
    Upload model trained with Soup CLI about 1 month ago
  • chat_template.jinja
    199 Bytes
    Upload model trained with Soup CLI about 1 month ago
  • optimizer.pt
    29.6 MB
    xet
    Upload model trained with Soup CLI about 1 month ago
  • rng_state.pth
    14.5 kB
    xet
    Upload model trained with Soup CLI about 1 month ago
  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.47 kB
    xet
    Upload model trained with Soup CLI about 1 month ago
  • tokenizer.json
    3.52 MB
    Upload model trained with Soup CLI about 1 month ago
  • tokenizer_config.json
    441 Bytes
    Upload model trained with Soup CLI about 1 month ago
  • trainer_state.json
    792 Bytes
    Upload model trained with Soup CLI about 1 month ago
  • training_args.bin
    5.65 kB
    xet
    Upload model trained with Soup CLI about 1 month ago