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ntyazh
/
content

Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ntyazh/content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ntyazh/content")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ntyazh/content")
    model = AutoModelForSequenceClassification.from_pretrained("ntyazh/content")
  • Notebooks
  • Google Colab
  • Kaggle
content / wandb
2.71 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ntyazh's picture
ntyazh
ntyazh/llm-course-hw2-reward-model
93c48de verified about 1 year ago
  • run-20250308_171545-7fko8ii0
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • run-20250308_171757-n8xih8yp
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • run-20250308_172343-a0bl55x6
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • run-20250308_184138-6shluj8g
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • run-20250308_184458-6upxn2a6
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • run-20250308_185009-791795t2
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • debug-internal.log
    2.57 kB
    ntyazh/llm-course-hw2-reward-model about 1 year ago
  • debug.log
    17.5 kB
    ntyazh/llm-course-hw2-reward-model about 1 year ago