input_text stringclasses 10
values | expected_output stringclasses 10
values | model_output stringclasses 10
values |
|---|---|---|
What is the capital of France? | Paris | Marseille |
Translate 'Hello' to Japanese | こんにちは | Hola |
What is 15 multiplied by 12? | 180 | 150 |
Who wrote the novel '1984'? | George Orwell | Aldous Huxley |
What is the chemical symbol for water? | H2O | O2 |
Translate 'Good morning' to French | Bonjour | Buenos días |
What is the largest planet in the solar system? | Jupiter | Saturn |
Solve: 25 + 37 | 62 | 60 |
Who is the CEO of Tesla? | Elon Musk | Jeff Bezos |
Translate 'Thank you' to Spanish | Gracias | Merci |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Blind Spots Dataset for bigscience/bloom-1b1
Model Tested: bigscience/bloom-1b1
How I loaded the model in Colab:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "bigscience/bloom-1b1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Example input
input_text = "The capital of France is"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0]))
---
license: mit
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