Text Classification
Transformers
Safetensors
English
llama
text-generation
medical
text-embeddings-inference
Instructions to use vedhamani/CareMinds-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vedhamani/CareMinds-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vedhamani/CareMinds-AI")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("vedhamani/CareMinds-AI") model = AutoModelForCausalLM.from_pretrained("vedhamani/CareMinds-AI") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "max_length": 2048, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.41.2" | |
| } | |