Dedicated Endpoints

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README

Files

  • model.safetensors: merged fine-tuned model weights
  • config.json: Qwen3 causal language model configuration
  • tokenizer.json, tokenizer_config.json, chat_template.jinja: tokenizer and chat formatting files
  • generation_config.json: generation defaults

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python

from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "nfdlh/tensortalk"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
trust_remote_code=True,
)

Model provider

nfdlh

Model tree

Base

this model

Modalities

Input

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Output

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Pricing

Dedicated Endpoints

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Supported Functionality

Model APIs

Dedicated Endpoints

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