Instructions to use Ansh989/Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ansh989/Chatbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ansh989/Chatbot")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ansh989/Chatbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - WillHeld/india_accent_cv | |
| - fka/awesome-chatgpt-prompts | |
| - open-thoughts/OpenThoughts-114k | |
| - open-r1/OpenR1-Math-220k | |
| - BAAI/IndustryCorpus2_tourism_geography | |
| - chungimungi/Indian-History | |
| - nguha/legalbench | |
| - PrimeIntellect/verifiable-coding-problems | |
| - ajibawa-2023/Education-High-School-Students | |
| - Gryphe/ChatGPT-4o-Writing-Prompts | |
| - Congliu/Chinese-DeepSeek-R1-Distill-data-110k | |
| - cfilt/iitb-english-hindi | |
| - suayptalha/Poetry-Foundation-Poems | |
| - BashitAli/Indian_history | |
| - lmms-lab/ScienceQA | |
| - Heuehneje/contitution-of-bhutan | |
| - taesiri/GameplayCaptions-Gemini-pro-vision | |
| - angie-chen55/javascript-github-code | |
| language: | |
| - en | |
| - hi | |
| - bn | |
| - ja | |
| - ko | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - openai-community/gpt2 | |
| pipeline_tag: question-answering | |
| library_name: transformers | |
| tags: | |
| - Chatbot | |
| - text-generation-inference | |
| - Question answering | |