# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Nano2527/Bank1M")
model = AutoModelForCausalLM.from_pretrained("Nano2527/Bank1M")Quick Links
DataThai-1M-playground-improved
Playable tiny Thai-English toy model for pipeline testing.
This is not DataThai-1B. It is a ~1M parameter smoke/playground model trained on a tiny QA-style demo corpus.
Use it for:
- loading test
- generation test
- Hugging Face deploy test
- sharing a small runnable model artifact
Do not use it as a real language model benchmark.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Nano2527/Bank1M")