Instructions to use qwerfcds/LMT-60-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qwerfcds/LMT-60-1.7B with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="qwerfcds/LMT-60-1.7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("qwerfcds/LMT-60-1.7B") model = AutoModelForCausalLM.from_pretrained("qwerfcds/LMT-60-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 139 Bytes
f220a65 | 1 2 3 4 5 6 7 8 9 10 | {
"bos_token_id": 151643,
"eos_token_id": [
151643,
151645
],
"max_new_tokens": 2048,
"transformers_version": "4.57.3"
}
|