Instructions to use samgreen/internlm2-chat-20b-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samgreen/internlm2-chat-20b-nf4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="samgreen/internlm2-chat-20b-nf4", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samgreen/internlm2-chat-20b-nf4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daa7081d5e58faf88357066d752df94693d1701700b04bd1ecf029606f9499c8
- Size of remote file:
- 4.95 GB
- SHA256:
- 978de5b63154c89a72e62a8ddc90be0651c668c4f0d8d4af197b136df306dee0
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