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Shadow0131/hindi-slm-c2-step120

sourceHugging Faceupdated 7d agoView on Hugging Face

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Hindi SLM — C2 Step 120

Final C2 / step-120 checkpoint produced for the IAIRO SLM++ Bootcamp capstone.

Load

python

from transformers import AutoTokenizer, AutoModelForCausalLM

repo = "Shadow0131/hindi-slm-c2-step120"

tokenizer = AutoTokenizer.from_pretrained(
    repo,
    trust_remote_code=True
)

model = AutoModelForCausalLM.from_pretrained(
    repo,
    trust_remote_code=True
)

This checkpoint uses a custom Transformers architecture, so trust_remote_code=True is required.

Checkpoint information

—Final checkpoint: C2 / step 120
—Vocabulary size: 32,768
—Context length: 256
—Format: Hugging Face Transformers
—Weights: safetensors
—pad token: EOS fallback
—Domain: Hindi language modeling