runtime error

Exit code: 1. Reason: w what you are doing and want to suppress this warning. [notice] A new release of pip is available: 26.2.1 -> 26.2.2 [notice] To update, run: pip install --upgrade pip Loading Shilluk translation model... Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Tokenizer attempt failed (repo tokenizer (auto)): ValueError: Couldn't instantiate the backend tokenizer from one of: (1) a `tokenizers` library serialization file, (2) a slow tokenizer instance to convert or (3) an equivalent slow tokenizer class to instantiate and convert. You need to have sentencepiece or tiktoken installed to convert a slow tokenizer to a fast one. Tokenizer loaded via: repo tokenizer (NLLB slow) Model attempt failed (AutoModelForSeq2SeqLM): ValueError: Unrecognized model in dayomtechnologies/shilluk_mt. Should have a `model_type` key in its config.json. Model attempt failed (M2M100 + repo config): OSError: dayomtechnologies/shilluk_mt does not appear to have a file named pytorch_model.bin or model.safetensors. config.json: 0%| | 0.00/846 [00:00<?, ?B/s] config.json: 100%|██████████| 846/846 [00:00<00:00, 3.39MB/s] Model attempt failed (M2M100 + base NLLB config): OSError: dayomtechnologies/shilluk_mt does not appear to have a file named pytorch_model.bin or model.safetensors. Traceback (most recent call last): File "/app/app.py", line 108, in <module> model = load_model() File "/app/app.py", line 103, in load_model raise RuntimeError("Could not load the model:\n" + "\n".join(errors)) RuntimeError: Could not load the model: AutoModelForSeq2SeqLM: Unrecognized model in dayomtechnologies/shilluk_mt. Should have a `model_type` key in its config.json. M2M100 + repo config: dayomtechnologies/shilluk_mt does not appear to have a file named pytorch_model.bin or model.safetensors. M2M100 + base NLLB config: dayomtechnologies/shilluk_mt does not appear to have a file named pytorch_model.bin or model.safetensors.

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