Question Answering
Transformers
Safetensors
llama
text-generation
smollm2
automotive
instruction-tuning
domain-adaptation
workshop-assistant
text-generation-inference
Instructions to use ShaileshH/smol-workertech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShaileshH/smol-workertech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ShaileshH/smol-workertech")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ShaileshH/smol-workertech") model = AutoModelForCausalLM.from_pretrained("ShaileshH/smol-workertech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": [ | |
| 0 | |
| ], | |
| "pad_token_id": 0, | |
| "transformers_version": "5.0.0" | |
| } | |