Text Classification
Transformers
Safetensors
internlm2
text-generation
hallucination-detection
custom_code
Instructions to use opencompass/anah-20b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use opencompass/anah-20b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="opencompass/anah-20b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("opencompass/anah-20b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09ca924075d1f99570d86c401f4d2712aa1c3670469e61004f80e293ca9cdbad
- Size of remote file:
- 5.75 MB
- SHA256:
- 9c1f649fe0ac36a053b6beca3ac1c0a170ec1f2b4d99acda1e4ffc78715a7bf1
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