X-Forwarded-Host: google.com{
"error": "Not Found: google.com"
}curl "https://{your-inference-endpoint}/v1/chat/completions" \
-X POST \
-H "Authorization: Bearer <HF_TOKEN>" \
-H "Content-Type: application/json" \
-H "X-Forwarded-Host: any-domain.com" \
-d '{
"model": "unsloth/DeepSeek-R1-GGUF",
"messages": [{"role": "user", "content": "What is deep learning?"}],
"max_tokens": 150
}'
Super! Thanks!
SentenceTransformer("all-MiniLM-L6-v2", backend="onnx"). Does your model not have an ONNX or OpenVINO file yet? No worries - it'll be autoexported for you. Thank me later ๐from_model2vec or with from_distillation where you do the distillation yourself. It'll only take 5 seconds on GPU & 2 minutes on CPU, no dataset needed.
I cancelled my GPT sub and using Coral instead on a daily basis
Thanks for the breakdown.
