Instructions to use huolongguo10/HR_Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huolongguo10/HR_Chat with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("huolongguo10/HR_Chat", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("huolongguo10/HR_Chat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2337b3430d4c01362167cf16d8acc01688c9be68e71d288a7efe00d7aaee27f8
- Size of remote file:
- 3.13 GB
- SHA256:
- 014ce5a39e904b424a2bc400d5b389f670e5956bfc752afee128ce462b987d85
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